Gaea

AI-powered Virtual Avatars & Digital Assistants

Unpublished

This platform functions as an advanced emotional recognition and analysis system that captures, processes, and interprets multi-modal physiological, vocal, facial, and behavioral signals in real time, without uploading raw data to preserve privacy. It features edge-based emotion detection, a decentralized database for storing and scoring emotional data, an engine that converts emotional cues into quantifiable coordinates, and tamper-proof verifiable credentials for AI emotional capabilities; these tools facilitate the development, training, and deployment of emotionally intelligent artificial intelligence for researchers, developers, and enterprises. By solving issues related to privacy-preserving emotion detection, contextual understanding, and adaptive AI development, it caters to industries such as mental health, human-computer interaction, entertainment, and clinical research seeking to improve machine empathy, emotional.

Gaea can be found in AI-powered Virtual Avatars & Digital Assistants categories.

The most similar products to Gaea are:

Pristan Verified profile Promoted → Upvio → Blueskeye → Behavioral Signal Technologies →

Details

Gaea Main Features

• EMOCOORDS
  It converts emotional signals into data that AI can use to learn and adapt.
• Data Layer
  Stores and processes emotional data to help train the AI models.
• Device Layer
  Multiple devices are used to capture emotional data in real time.
• SDKs and APIs
  Developers can use standard tools and APIs to connect their applications with the platform.
• Connect Wallet
  Users can connect their digital wallets to the platform easily.
• Cost Reduction
  AI training costs are reduced by 300% using this platform.
• Godhood Engine
  This engine turns emotional data into measurable emotional points and helps AI understand emotions.
• Vision & Audio
  The SaaS can recognize emotions from facial expressions and voice.
• Developer Access
  Developers can apply for free SDK testing and access detailed documentation.
• Quality Pipeline
  The data is scored based on how authentic and consistent it is.
• Text Interaction
  It understands and reacts to text inputs from users.
• Architecture Layer
  The system is built with different layers, including device, data, and capability layers.
• Airdrop and Claiming
  Users can claim their $GAEA tokens through a specific airdrop process.
• Enterprise Solutions
  Large companies can get custom emotional intelligence solutions and certifications.
• Physiological Signals
  It uses signals from the body to understand emotions.
• Solutions & Scenarios
  GAEA helps improve human-AI collaboration and emotional understanding in many fields.
• Recognition Improvement
  The system has a 67% accuracy in recognizing emotions.
• User Base and Achievements
  Over 322,000 EMOCOORDS have been created, and 50,000 decisions made with the system.
• Core Products and Functions
  The SaaS provides main features like emotion recognition and data storage.
• Certification and Credentials
  The SaaS creates secure and verifiable certificates showing AI’s emotional skills.
• Research & User Participation
  Researchers and users can contribute data to earn rewards and use tools for studies or clinical work.
• Multi-modal Emotion Recognition
  It detects emotions using text, voice, facial expressions, gestures, and body language all at once.
• Decentralized Emotional Database
  All emotional data is stored in a secure, decentralized database.

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Technologies Used

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